Xiaoqiang Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
16
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition. | Kai Zhao, Liting Ruan, Haoran Jiang, Xiaoqiang Zhu, Xianchao Zhang, Dan Zeng |
| 2026 | IWQoS | Temporal Predictive Joint Hybrid Beamforming Framework for Mitigating Channel Aging in High-Mobility MIMO-OFDM Systems. | Peilun Jia, Hanwei Zhang, Mingbo Zhang, Xiaoqiang Zhu, Yuan Liu, Chenyang Wang |
| 2025 | ECAI | A Dynamic Cognitive Diagnosis Model with Genetic Evolution-Based Q-Matrix Enhancement. | Xianwei Xin, Chengru Liu, Chenyang Wang, Ledong An, Xiaoqiang Zhu |
| 2025 | ICONIP | DTSAT-DRQN: A Novel DRQN-Enhanced Chaos Communication Strategy with Dual-TCN. | Siyu Hu, Wang Yu, Jiqiang Liu, Xiaoqiang Zhu, Zhenyan Ji, Chenyang Wang, Xiangyi Chen |
| 2025 | ICPADS | A High-Precision CSI-Based Localization Framework with Kolmogorov-Arnold Network and Broad Learning System. | Xuanqi He, Mingbo Zhang, Xiaoqiang Zhu, Yingying Yao, Chenyang Wang, Lingkun Li |
| 2025 | INFOCOM | LuminaLink: Enabling Low Cost Secure Visible Light Communication with Birefringence. | Ruxin Lin, Bingyan Liu, Yelin Cui, Duo Liu, Ruipeng Gao, Xiaoqiang Zhu, Jiqiang Liu, Lingkun Li |
| 2025 | ICWS | GCA-YOLO: An Edge-Optimized Traffic Sign Detection Model. | Peiyan Yuan, Yifan Pei, Chenyang Wang, Xiaoyan Zhao, Zhou Liu, Xiaoqiang Zhu, Tarik Taleb |
| 2023 | RecSys | International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. | Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao |
| 2022 | KDD | 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. | Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang |
| 2022 | MMSP | Document Image Watermarking Scheme with Adaptive Positioning Based on Discrete Wavelet Transform and Discrete Cosine Transform. | Yiyu Zhou, Luning Hong, Xiaoqiang Zhu |
| 2022 | WSDM | CAN: Feature Co-Action Network for Click-Through Rate Prediction. | Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng |
| 2022 | WSDM | A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. | Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng |
| 2021 | CIKM | One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction. | Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou, Xinyao Ding, Binding Dai, Qiang Luo, Siran Yang, Jingshan Lv, Chi Zhang, Hongbo Deng, Xiaoqiang Zhu |
| 2021 | ICDM | Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach. | Yilin Hou, Guangming Zhao, Chuanren Liu, Zhonglin Zu, Xiaoqiang Zhu |
| 2021 | ICDM | Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising. | Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip S. Yu, Xiaoqiang Zhu |
| 2021 | KDD | Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. | Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee |
| 2021 | KDD | We Know What You Want: An Advertising Strategy Recommender System for Online Advertising. | Liyi Guo, Junqi Jin, Haoqi Zhang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing, Fei Pan, Lvyin Niu, Fan Wu, Haiyang Xu, Chuan Yu, Yuning Jiang, Xiaoqiang Zhu |
| 2021 | KDD | Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. | Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu |
| 2021 | KDD | A Unified Solution to Constrained Bidding in Online Display Advertising. | Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu |
| 2021 | KDD | Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. | Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu |
| 2021 | KDD | 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. | Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang |
| 2020 | CIKM | Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. | Qi Pi, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Xiaoqiang Zhu, Kun Gai |
| 2020 | SIGIR | A Deep Recurrent Survival Model for Unbiased Ranking. | Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai |
| 2019 | AAAI | Deep Interest Evolution Network for Click-Through Rate Prediction. | Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai |
| 2019 | KDD | Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction. | Qi Pi, Weijie Bian, Guorui Zhou, Xiaoqiang Zhu, Kun Gai |
| 2019 | SIGIR | Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. | Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai |
| 2018 | AAAI | Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. | Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai |
| 2018 | CIKM | Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. | Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai |
| 2018 | KDD | Deep Interest Network for Click-Through Rate Prediction. | Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai |
| 2018 | SIGIR | Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate. | Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai |
| 2013 | DASC | Parallel Simulation of Large-Scale Universal Particle Systems Using CUDA. | Xiangfei Li, Xuzhi Wang, Wanggen Wan, Xiaoqiang Zhu, Xiaoqing Yu |
| 2012 | IJCNN | Learning similarity metric with SVM. | Xiaoqiang Zhu, Pinghua Gong, Zeng-Shun Zhao, Changshui Zhang |